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Human Activity Recognition through Self-Supervised Learning

Researchers from the UK demonstrate the efficacy of self-supervised learning for human activity recognition using a vast wearable dataset. By addressing convergence issues and evaluating multi-task self-supervision, they showcase robust models with superior representation quality across diverse populations and activity types. ....

United Kingdom , Noopur Jain , Susha Cheriyedath , Noopur Jainapr , Digital Medicine , Human Activity Recognition , Self Supervised Learning , United Kingdom Biobank ,

Deep learning-enabled system surpasses location constraints for human activity recognition

Deep learning-enabled system surpasses location constraints for human activity recognition
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University Teknikal Malaysia Melaka Ute , Human Centric Intelligent Systems , University Teknikal Malaysia Melaka , Human Activity Recognition , Channel State Information , Long Short Term Memory , Fahd Abuhoureyah ,

CMU's Synergy Lab Unveils Trio of Ubiquitous Sensing Papers

CMU's Synergy Lab Unveils Trio of Ubiquitous Sensing Papers
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Anurag Maravi , Yang Zhang , Mayank Goel , Prasoon Patidar , Chris Harrison , Mike Czapik , Sudershan Boovaraghavan , Carnegie Mellon , Yuvraj Agarwal , International Joint Conference On Pervasive , Carnegie Mellon Synergy Lab , Synergy Lab , Tata Consultancy Services Hall , Societal Systems Department , Energy Efficiency Synergy Lab , Energy Efficiency , Joint Conference , Ubiquitous Computing , Societal Systems , Consultancy Services , Human Activity Recognition ,

AI helps to detect signs of anxiety

The research suggests that AI shows strong potential in future applications for addressing mental health and wellbeing. ....

United States , Sayeed Ghani , Nida Saddaf Khan , Gulnaz Anjum , American Psychiatric Association , Institute Of Business Administration , Simon Fraser University , Business Administration , Human Activity Recognition ,

Researchers use AI to successfully detect signs of anxiety

Researchers are using artificial intelligence (AI) to detect behavioural signs of anxiety with more than 90 per cent accuracy, and suggest that AI could ....

United States , Sayeed Ghani , Nida Saddaf Khan , Gulnaz Anjum , American Psychiatric Association , Institute Of Business Administration , Simon Fraser University , Business Administration , Human Activity Recognition ,